title: Differential distribution of microRNAs in breast cancer grouped by clinicopathological subtypes.
abstract: BACKGROUND
  microRNAs (miRNAs) that regulate proliferation, invasion and metastasis are considered to be the principal molecular basis of tumor heterogeneity. Breast cancer is not a homogeneous tissue. Thus, it is very important to perform microarray-based miRNA screening of tumors at different sites.
  
  
  METHODS
  Breast tissue samples from the centers and edges of tumors of 30 patients were classified into 5 clinicopathological subtypes. In each group, 6 specimens were examined by microRNA array. All differential miRNAs were analyzed between the edges and centers of the tumors.
  
  
  RESULTS
  Seventeen kinds of miRNAs were heterogeneously distributed in the tumors from different clinicopathological subtypes that included 1 kind of miRNA in Luminal A and Luminal B Her2+ subtypes, 4 kinds in Luminal A and Her2 overexpression subtypes, 6 kinds in Luminal B Ki67+ and Luminal B Her2+ subtypes, 2 kinds between Luminal B Ki67+ and triple-negative breast cancer (TNBC) subtypes, 2 kinds between Luminal B Her2+ and TNBC subtypes, and 2 kinds between Luminal B Ki67+, Luminal B Her2+, and TNBC subtypes. Twenty kinds of miRNAs were homogenously distributed in the tumors from different clinicopathological subtypes that included 6 kinds of miRNAs in Luminal B Ki67+ and Luminal B Her2+ subtypes, 1 kind in Luminal B Ki67+ and Her2 overexpression subtypes, 10 kinds between Luminal B Ki67+ and TNBC subtypes, 2 kinds in Luminal B Her2+ and TNBC subtypes, and 1 kind between Luminal B Ki67+, Luminal B Her2+, and TNBC subtypes.
  
  
  CONCLUSIONS
  A total of 37 miRNAs were significantly distributed in tumors from the centers to edges, and in all clinicopathological subtypes.
authors.affiliation: Department of Breast Surgery, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, China.
authors.forename: Jian-Yi
authors.initials: JY
authors.lastname: Li
authors.forename: Shi
authors.initials: S
authors.lastname: Jia
authors.forename: Wen-Hai
authors.initials: WH
authors.lastname: Zhang
authors.forename: Yang
authors.initials: Y
authors.lastname: Zhang
authors.forename: Ye
authors.initials: Y
authors.lastname: Kang
authors.forename: Pi-Song
authors.initials: PS
authors.lastname: Li
mesh_terms: D000328:Adult; D000368:Aged; D014408:Biomarkers, Tumor / Q000235:genetics* / Q000378:metabolism; D001943:Breast Neoplasms / Q000145:classification* / Q000235:genetics* / Q000378:metabolism / Q000473:pathology; D005260:Female; D020869:Gene Expression Profiling; D006801:Humans; D019394:Ki-67 Antigen / Q000378:metabolism; D035683:MicroRNAs / Q000235:genetics*; D008875:Middle Aged; D009367:Neoplasm Staging; D020411:Oligonucleotide Array Sequence Analysis; D011379:Prognosis; D018719:Erb-b2 Receptor Tyrosine Kinases / Q000378:metabolism; D011960:Receptors, Estrogen / Q000378:metabolism; D011980:Receptors, Progesterone / Q000378:metabolism
chemical_list: D014408:Biomarkers, Tumor; D019394:Ki-67 Antigen; D035683:MicroRNAs; D018719:Erb-b2 Receptor Tyrosine Kinases; D011960:Receptors, Estrogen; D011980:Receptors, Progesterone